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Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis
Medullary thyroid carcinoma (MTC) is an endocrine tumor and comprises 5–10% of all primary thyroid malignancies. However, the biomechanical contribution to the development and progression of MTC remains unclear. In this study, To discover the key microRNAs (miRNAs or miRs) and their potential roles...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691269/ https://www.ncbi.nlm.nih.gov/pubmed/31322209 http://dx.doi.org/10.3892/mmr.2019.10463 |
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author | Zhang, Lijie Lu, Donghui Liu, Meiqin Zhang, Mingjin Peng, Quan |
author_facet | Zhang, Lijie Lu, Donghui Liu, Meiqin Zhang, Mingjin Peng, Quan |
author_sort | Zhang, Lijie |
collection | PubMed |
description | Medullary thyroid carcinoma (MTC) is an endocrine tumor and comprises 5–10% of all primary thyroid malignancies. However, the biomechanical contribution to the development and progression of MTC remains unclear. In this study, To discover the key microRNAs (miRNAs or miRs) and their potential roles in the tumorigenesis of MTC, the microarray datasets GSE97070, GSE40807 and GSE27155 were analyzed. The datasets were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed miRNAs (DEMs) and genes (DEGs) were accessed by R. Targets of DEMs and predicted using starBase, and functional and pathway enrichment analyses were performed using Metascape. A protein-protein interaction (PPI) network and an analysis of modules were constructed using NetworkAnalyst. Finally, a network was constructed to show the regulatory association between transcription factors (TFs), DEMs and downstream genes. A total of 5 DEMs were found both in GSE97070 and GSE40807, including 3 upregulated DEMs and 2 downregulated DEMs. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses from Metascape revealed that the target genes of upregulated DEMs were significantly enriched in adherens junction, kinase and protein binding, while the target genes of downregulated DEMs were mainly involved in non-canonical Wnt signaling pathway and RNA transport. From the PPI network, 13 nodes were screened as hub genes. Pathway enrichment analysis revealed that the top 5 modules were mostly enriched in the neurotrophin signaling pathway, mRNA surveillance pathway and MAPK signaling pathway. In addition, the TF-DEMs-target gene and DEGs regulatory network revealed that 17 TFs regulated 2 miRNAs, including upregulated or downregulated DEMs, CREB1 regulated all upregulated DEMs, and TGFB1 was an activator of hsa-miR-199a-3p and a repressor of hsa-miR-429. Taken together, the present study identified several miRNAs and potential biological mechanisms involved in the tumorigenesis of MTC. This study identified the key DEMs and potential mechanisms underlying the development of MTC, and provided a series of biomarkers and targets for the management of MTC. |
format | Online Article Text |
id | pubmed-6691269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-66912692019-08-19 Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis Zhang, Lijie Lu, Donghui Liu, Meiqin Zhang, Mingjin Peng, Quan Mol Med Rep Articles Medullary thyroid carcinoma (MTC) is an endocrine tumor and comprises 5–10% of all primary thyroid malignancies. However, the biomechanical contribution to the development and progression of MTC remains unclear. In this study, To discover the key microRNAs (miRNAs or miRs) and their potential roles in the tumorigenesis of MTC, the microarray datasets GSE97070, GSE40807 and GSE27155 were analyzed. The datasets were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed miRNAs (DEMs) and genes (DEGs) were accessed by R. Targets of DEMs and predicted using starBase, and functional and pathway enrichment analyses were performed using Metascape. A protein-protein interaction (PPI) network and an analysis of modules were constructed using NetworkAnalyst. Finally, a network was constructed to show the regulatory association between transcription factors (TFs), DEMs and downstream genes. A total of 5 DEMs were found both in GSE97070 and GSE40807, including 3 upregulated DEMs and 2 downregulated DEMs. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses from Metascape revealed that the target genes of upregulated DEMs were significantly enriched in adherens junction, kinase and protein binding, while the target genes of downregulated DEMs were mainly involved in non-canonical Wnt signaling pathway and RNA transport. From the PPI network, 13 nodes were screened as hub genes. Pathway enrichment analysis revealed that the top 5 modules were mostly enriched in the neurotrophin signaling pathway, mRNA surveillance pathway and MAPK signaling pathway. In addition, the TF-DEMs-target gene and DEGs regulatory network revealed that 17 TFs regulated 2 miRNAs, including upregulated or downregulated DEMs, CREB1 regulated all upregulated DEMs, and TGFB1 was an activator of hsa-miR-199a-3p and a repressor of hsa-miR-429. Taken together, the present study identified several miRNAs and potential biological mechanisms involved in the tumorigenesis of MTC. This study identified the key DEMs and potential mechanisms underlying the development of MTC, and provided a series of biomarkers and targets for the management of MTC. D.A. Spandidos 2019-09 2019-07-03 /pmc/articles/PMC6691269/ /pubmed/31322209 http://dx.doi.org/10.3892/mmr.2019.10463 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Zhang, Lijie Lu, Donghui Liu, Meiqin Zhang, Mingjin Peng, Quan Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis |
title | Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis |
title_full | Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis |
title_fullStr | Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis |
title_full_unstemmed | Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis |
title_short | Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis |
title_sort | identification and interaction analysis of key mirnas in medullary thyroid carcinoma by bioinformatics analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691269/ https://www.ncbi.nlm.nih.gov/pubmed/31322209 http://dx.doi.org/10.3892/mmr.2019.10463 |
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